July 2018
Intermediate to advanced
96 pages
2h 8m
English
Content preview from Hands-On Deep Learning for Images with TensorFlow
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Summary
In this chapter, we learned about the MNIST digits, and how to acquire them; how tensors are really just multidimensional arrays; how we can encode image data as a tensor; how we can encode categorical or classification data as a tensor; and then we had a quick review and a cookbook approach to think about dimensions and tensors to get data prepared for machine learning.
Now that we've learned how to set up our input and output data for machine learning, we're going to move on to the next chapter, where we will create a Classical Neural Network (CNN).
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